A phenotypic spectrum of autism is attributable to the combined effects of rare variants, polygenic risk and sex
Open accessPublished version of a preprint
Abstract
The genetic etiology of autism spectrum disorder (ASD) is multifactorial, but how combinations of genetic factors determine risk is unclear. In a large family sample, we show that genetic loads of rare and polygenic risk are inversely correlated in cases and greater in females than in males, consistent with a liability threshold that differs by sex. De novo mutations (DNMs), rare inherited variants and polygenic scores were associated with various dimensions of symptom severity in children and parents. Parental age effects on risk for ASD in offspring were attributable to a combination of genetic mechanisms, including DNMs that accumulate in the paternal germline and inherited risk that influences behavior in parents. Genes implicated by rare variants were enriched in excitatory and inhibitory neurons compared with genes implicated by common variants. Our results suggest that a phenotypic spectrum of ASD is attributable to a spectrum of genetic factors that impact different neurodevelopmental processes.
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- Findingown data
ASD cases carrying damaging de novo mutations had a lower combined polygenic load than cases without damaging DNMs.
“cases who carry de novo damaging mutations (dnLoF or dnMIS) had a combined polygenic load that was reduced compared to cases that do not carry damaging DNMs (Fig. 4).”
Quote in the paperSubstantial claim - Findingown data
The combined contribution of rare variants also explained 2% of the variance in ASD case status.
“The combined contribution of rare variants was similar, also explaining 2% of the variance in case status (Fig. 2a).”
Quote in the paperSubstantial claim - Findingown data
The additive effects of all six genetic factors combined explained 4% of the variance in ASD case status.
“the additive effects of all factors combined could be quantified in a single model (r2 = 4%, Fig. 2a and Supplementary Table 12).”
Quote in the paperSubstantial claim- Rests on an assumption: The genetic factors combine additively to determine ASD liability.
- Findingown data
Rare inherited protein-truncating SNVs and structural variants are associated with ASD.
“TDT confirmed the associations of rare inherited protein-truncating SNVs (inhLoF) and SVs (LoFSV) (Fig. 1b and Supplementary Tables 7–9).”
Quote in the paperSubstantial claim - Findingown data
Rare inherited loss-of-function variants were negatively correlated with DNMs (P = 0.03).
“rare inherited variants (inhLoF) were negatively correlated with DNMs (P = 0.03; Extended Data Fig. 2a).”
Quote in the paperSubstantial claim
- Findingown data
The full distribution of the genomic risk score is skewed upward in females compared with males.
“The full distribution of GRS is skewed upward in females compared to males (Fig. 3c)”
Quote in the paperSubstantial claim - Findingown data
Polygenic risk explained 2% of the variance in ASD case status in the combined sample.
“Polygenic risk explained 2% of the variance in case status in the combined sample (Supplementary Table 12)”
Quote in the paperSubstantial claim - Findingown data
De novo synonymous variants were not associated with ASD in the combined sample.
“We confirmed that de novo synonymous variants were not associated with ASD in the combined sample (Extended Data Fig. 1a)”
Quote in the paperNot a substantial claim - Findingown data
De novo loss-of-function and missense mutations contribute significantly to ASD.
“Results confirm significant contributions from genetic factors, including de novo loss of function (dnLoF) and missense (dnMIS) mutations (Fig. 1a and Supplementary Tables 3–6).”
Quote in the paperSubstantial claim - Findingown data
The polygenic contribution to ASD was consistent across the three cohorts.
“the polygenic contribution to ASD was consistent across all three cohorts (Supplementary Table 11).”
Quote in the paperNot a substantial claim - Findingown data
Female controls had a greater common-variant risk score than male controls.
“A similar trend was seen for polygenic risk in controls, with female controls having a greater CVRS than males (P = 0.026; Fig. 3b).”
Quote in the paperSubstantial claim - Findingown data
Female ASD cases had significantly higher common-variant and rare-variant risk scores than male ASD cases.
“Female cases had significantly increased CVRS (P = 5.96 × 10−4; Fig. 3b) and RVRS (P = 4.32 × 10−7; Fig. 3a) compared to male cases.”
Quote in the paperSubstantial claim - Findingown data
The strength of the threshold effect did not differ significantly by sex.
“The strength of the threshold effect in Figure 4b did not differ significantly by sex.”
Quote in the paperSubstantial claim - Findingown data
dnLoF and dnMIS variants mirror the paternal age effect on de novo SNVs.
“dnLoF and dnMIS variants mirror this effect (Fig. 6a).”
Quote in the paperNot a substantial claim - Findingown data
Among the weak interactions observed, 8 of 11 were in controls or parents.
“Among the weak interactions that were observed, a majority of gene-by-sex effects (8/11) were observed in controls or in parents.”
Quote in the paperNot a substantial claim - Findingown data
All six genetic factors showed evidence for differential effects on maternal and paternal age.
“all six factors showed evidence for differential effects on maternal and paternal age (Fig. 5b).”
Quote in the paperNot a substantial claim - Findingown data
The correlation of PSEA with advanced parental age was stronger for mothers than for fathers.
“the correlation of PSEA with advanced parental age was even stronger for mothers (Fig. 6a and Supplementary Table 18).”
Quote in the paperNot a substantial claim - Findingown data
Social deficits in parents were not correlated with parental age.
“social deficits in parents were not correlated with parental age (Supplementary Table 19).”
Quote in the paperSubstantial claim - Findingown data
The study did not observe biased transmission of risk from mothers to male cases.
“we did not observe a biased transmission of risk from the more “protected” parent (mothers) to the more susceptible offspring (male cases) (Extended Data Fig. 2b)”
Quote in the paperSubstantial claim - Findingown data
Genetic effects on social communication in cases included two male-biased factors (PSASD and PSSZ) and two female-biased factors (inhLoF and PSEA).
“genetic effects on social communication (SCQ) in cases included two factors that were male-biased (PSASD and PSSZ) and two that were female-biased (inhLoF and PSEA) (Fig. 5a).”
Quote in the paperNot a substantial claim - Findingown data
Deficits in adaptive behavior in offspring were weakly correlated with dnLoF and polygenic risk for ASD and schizophrenia.
“Deficits in adaptive behavior (VABS) in offspring were weakly correlated with dnLoF and polygenic risk (PSASD, PSSZ).”
Quote in the paperNot a substantial claim - Findingown data
Multiple genetic risk factors contributed to dimensions of ASD symptom severity in cases and in their typically developing siblings and parents.
“Multiple genetic risk factors contributed to dimensions of ASD symptom severity in cases and in their typically developing sibling and parents.”
Quote in the paperSubstantial claim - Findingown data
The effects of six genetic factors on parental age were positively correlated with their effect sizes for parental educational attainment (PCC = +0.76, P = 0.0039).
“The effects of six genetic factors on parental age were positively correlated with their effect sizes for educational attainment of parents (PCC = +0.76, P = 0.0039; Fig. 6b)”
Quote in the paperSubstantial claim - Findingreasoning
The effects of genetic factors on parental age were positively correlated with their effects on educational attainment.
“The effects of genetic factors on parental age were positively correlated with their effects on educational attainment.”
Quote in the paperSubstantial claim - Findingown data
Measures of social impairment in parents were not associated with advanced parental age.
“By contrast, measures of social impairment in parents (SRS, BAPQ) were not associated with advanced parental age.”
Quote in the paperSubstantial claim - Findingown data
ASD susceptibility genes are enriched in fetal cortex and cortical cell types.
“Here we confirmed that ASD susceptibility genes are enriched in fetal cortex and cortical cell types”
Quote in the paperSubstantial claim - Findingnone given
For most gene-trait relationships, genetic effects on symptom severity paralleled their effects on case status.
“For most gene-trait relationships, genetic effects on symptom severity paralleled their effects on case status.”
Quote in the paperSubstantial claim - Findingown data
The single strongest predictor of advanced parental age, particularly for mothers, was PSEA.
“The single strongest predictor of advanced parental age, particularly for mothers, was PSEA.”
Quote in the paperSubstantial claim - Findingown data
Most gene-trait correlations did not differ by sex.
“Most gene-trait correlations did not differ by sex.”
Quote in the paperSubstantial claim - Findingown data
The effects of six genetic factors on parental age were negatively correlated with their effect sizes for social deficits (PCC = −0.66, P = 0.016).
“negatively correlated with their effect sizes for social deficits (PCC = −0.66, P = 0.016; Fig. 6c).”
Quote in the paperSubstantial claim - Findingown data
A TADA test applied to the combined data defined 125 ASD susceptibility genes with FDR < 0.05.
“We applied a rare-variant transmission and de novo association (TADA) test33 to the combined data in this study to define a set of 125 ASD susceptibility (TADA genes) with FDR < 0.05”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [33] He, X. et al. Integrated model of de novo and inherited genetic variants yields greater power to identify risk genes. PLoS Genet. 9, e1003671 (2013). source
Not checked in the free run.
- Findingown data
Genetic correlations with parental age consisted of four paternally biased factors (dnMIS, dnLoF, inhLoF, PSASD) and two maternally biased factors (PSEA, PSSZ).
“Genetic correlations with parental age consisted of four factors that were paternally biased (dnMIS, dnLoF, inhLoF and PSASD) and two that were maternally biased (PSEA and PSSZ).”
Quote in the paperNot a substantial claim - Findingown data
The recalculated polygenic scores, especially PSASD, had greater predictive value for case status than the PRSice scores.
“The recalculated polygenic scores, particularly PSASD, had greater predictive value for case status (Extended Data Fig. 5)”
Quote in the paperNot a substantial claim - Findingown data
In this study's analysis, SNPs, indels and SVs within the above rare variant categories were confirmed to be associated with ASD.
“In our analysis of genetic association, we confirmed the association of SNPs, indels and SVs within the above categories (Fig. 1).”
Quote in the paperSubstantial claim - Findingown data
dnSyn variants did not differ significantly between cases and controls in the combined sample.
“dnSyn variants did not differ significantly between cases and controls in the combined sample (Extended Data Fig. 1a).”
Quote in the paperNot a substantial claim - Findingown data
Polygenic scores calculated using SBayesR had greater predictive value for PSASD, PSSZ and PSEA than those calculated using PRSice.
“Polygenic scores calculated using SBayesR had greater predictive value for polygenic scores for ASD (PSASD), schizophrenia (PSSZ) and educational attainment (PSEA).”
Quote in the paperNot a substantial claim - Findingown data
There was no significant sex bias in the transmission of rare variants in families.
“We did not observe a significant sex bias in the transmission of rare variants in families.”
Quote in the paperNot a substantial claim - Findingown data
TADA identified a set of 113 ASD genes associated with ASD at FDR < 0.05 in the combined sample.
“TADA genes were defined as a set of 113 ASD genes that were associated with ASD at an FDR < 0.05.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [33] He, X. et al. Integrated model of de novo and inherited genetic variants yields greater power to identify risk genes. PLoS Genet. 9, e1003671 (2013). source
Not checked in the free run.
- cites [65] Sey, N. Y. A. et al. A computational tool (H-MAGMA) for improved prediction of brain-disorder risk genes by incorporating brain chromatin interaction profiles. Nat. Neurosci. 23, 583–593 (2020). source
Not checked in the free run.
- Findingown data
There was no enriched transmission from mother to male cases as previously hypothesized.
“In particular, we did not observe an enriched transmission from mother to male cases as we have previously hypothesized8.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [8] Zhao, X. et al. A unified genetic theory for sporadic and inherited autism. Proc. Natl Acad. Sci. USA 104, 12831–12836 (2007). source
Not checked in the free run.
- Premisecitation
ASD risk is attributable to a combination of rare and common variation.
“Even CNVs with large effect sizes (OR > 30) for ASD present with variable psychiatric traits4, and risk is attributable to a combination of rare and common variation5,6.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [5] Bergen, S. E. et al. Joint contributions of rare copy number variants and common SNPs to risk for schizophrenia. Am. J. Psychiatry 176, 29–35 (2019). source
Not checked in the free run.
- cites [6] Davies, R. W. et al. Using common genetic variation to examine phenotypic expression and risk prediction in 22q11.2 deletion syndrome. Nat. Med. 26, 1912–1918 (2020). source
Not checked in the free run.
- Premisecitation
The male preponderance of ASD is not largely explained by genetic variation on the sex chromosomes.
“A small proportion of cases are associated with X-linked variants7, but the male preponderance of ASD is not largely explained by genetic variation on sex chromosomes.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [7] Lim, E. T. et al. Rare complete knockouts in humans: population distribution and significant role in autism spectrum disorders. Neuron 77, 235–242 (2013). source
Not checked in the free run.
- Premisecitation
CNVs with very large effect sizes for ASD can still present with variable psychiatric traits.
“Even CNVs with large effect sizes (OR > 30) for ASD present with variable psychiatric traits4, and risk is attributable to a combination of rare and common variation5,6.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [4] Sebat, J., Levy, D. L. & McCarthy, S. E. Rare structural variants in schizophrenia: one disorder, multiple mutations; one mutation, multiple disorders. Trends Genet. 25, 528–535 (2009). source
Not checked in the free run.
- Interpretationown data
Rare variants and polygenic risk constitute two major components of the genetic architecture of ASD.
“Our results indicate that rare variants and polygenic risk form two major components of the genetic architecture of ASD”
Quote in the paperSubstantial claim - Study design and conductown data
DNM rates were not affected by batch effects or other confounders.
“rates of DNMs were not influenced by batch effects or other confounders (Extended Data Fig. 1b,c).”
Quote in the paperNot a substantial claim - Interpretationown data
The effects of most genetic factors on behavioral traits were similar in females and males.
“These results suggest that the effects of most genetic factors on behavioral traits were similar in females and males.”
Quote in the paperSubstantial claim - Interpretationown data
Evidence for sex differences in the strength of the negative correlation between common and rare risk scores is not robust across polygenic scoring methods.
“Evidence for sex differences in the strength of this negative correlation is therefore not robust across multiple polygenic scoring methods.”
Quote in the paperSubstantial claim - Interpretationown data
The genetic basis of the parental age effect in ASD is highly multifactorial, with contributions from de novo mutation, rare inherited variants, and polygenic risk.
“Our results demonstrate that the genetic basis of the parental age effect in ASD is highly multifactorial with contributions from de novo mutation, rare-inherited variants and polygenic risk.”
Quote in the paperSubstantial claim - Interpretationown data
The study found no evidence that gene-by-sex effects produce dramatic biases in transmission of risk from parent to child.
“Thus, we do not find evidence that gene-by-sex effects result in dramatic biases in the transmission of risk from parent to child”
Quote in the paperSubstantial claim - Premisecitation
Advanced paternal age correlates with increased rates of germline mutation in offspring.
“We and others have demonstrated that advanced paternal age correlates with increased rates of germline mutation in offspring28–30”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [28] Michaelson, J. J. et al. Whole-genome sequencing in autism identifies hot spots for de novo germline mutation. Cell 151, 1431–1442 (2012). source
Not checked in the free run.
- cites [29] Kong, A. et al. Rate of de novo mutations and the importance of father’s age to disease risk. Nature 488, 471–475 (2012). source
Not checked in the free run.
- cites [30] Goriely, A. & Wilkie, A. O. Missing heritability: paternal age effect mutations and selfish spermatogonia. Nat. Rev. Genet. 11, 589 (2010). source
Not checked in the free run.
- Interpretationreasoning
The combined effects of inhLoF, DNMs, and polygenic scores contribute to a U-shaped effect of parental age and genetic risk for ASD.
“Our genetic findings support a model in which the combined effects of inhLoF, DNMs and polygenic scores contribute to a U-shaped effect of parental age and genetic risk for ASD.”
Quote in the paperSubstantial claim - Interpretationown data
Rare variants of large effect impact genes that have key roles in early fetal brain development.
“These results are consistent with rare variants of large effect impacting genes that have key roles in early fetal brain development.”
Quote in the paperSubstantial claim - Interpretationreasoning
Polygenic risk for ASD is not restricted to a narrowly defined brain region, cell type, or pathway.
“polygenic risk for ASD is not restricted to a narrowly defined brain region, cell type or pathway.”
Quote in the paperSubstantial claim - Interpretationown data
Inherited mechanisms of parental-age effects are mediated by genetic effects on learning and education in parents.
“Our results support a hypothesis that inherited mechanisms of parental-age effects are mediated by genetic effects on learning and education in parents.”
Quote in the paperSubstantial claim - Premisecitation
ASD susceptibility genes are preferentially expressed in the developing brain.
“ASD susceptibility genes are preferentially expressed in the developing brain18,27.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [18] Grove, J. et al. Identification of common genetic risk variants for autism spectrum disorder. Nat. Genet. 51, 431–444 (2019). source
Not checked in the free run.
- cites [27] Satterstrom, F. K. et al. Large-scale exome sequencing study implicates both developmental and functional changes in the neurobiology of autism. Cell 180, 568–584.e23 (2020). source
Not checked in the free run.
- Interpretationown data
The spectrum of genetic architectures observed contributes to phenotypic variation across the cohort.
“The spectrum of genetic architectures that we observe contributes to phenotypic variation across the cohort.”
Quote in the paperSubstantial claim - Interpretationown data
The genetic basis of ASD consists of multiple genetic components, including DNMs, rare inherited variants, and polygenic scores for psychiatric and behavioral traits.
“Whole genome analysis of a large ASD family cohort demonstrates how the genetic basis of ASD consists of multiple genetic components, including DNMs, rare inherited variants and polygenic scores for psychiatric and behavioral traits.”
Quote in the paperSubstantial claim - Interpretationreasoning
The association of PSEA with ASD could not be explained by any of the behavioral traits measured in this study.
“Thus, the association of PSEA with ASD could not be explained by any of the behavioral traits that were measured in this study.”
Quote in the paperSubstantial claim - Interpretationown data
Inherited mechanisms of parental age effects on ASD risk in offspring may be driven by genetic effects on learning and education in parents rather than by effects on parental social behavior.
“These results suggest that inherited mechanisms of parental age effects on ASD risk in offspring may be driven by genetic effects on learning and education in parents rather than by effects on parental social behavior.”
Quote in the paperSubstantial claim - Study design and conductreasoning
The combined sample provides improved power to determine effect sizes for the same genetic factors.
“Thus, the combined sample provides improved power to determine effect sizes for the same genetic factors.”
Quote in the paperSubstantial claim - Study design and conductcitation
The default SynthDNM classifier, trained on GATK variant calls from >30X Illumina WGS data, achieved an AUC of 0.997 for detecting a truth set of orthogonally validated de novo SNVs and indels from SSC.
“This default classifier had high accuracy (AUC = 0.997) for detecting a truth-set of orthogonally validated de novo SNVs and indels from SSC57.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [57] Feliciano, P. et al. Exome sequencing of 457 autism families recruited online provides evidence for autism risk genes. npj Genom. Med. 4, 19 (2019). source
Not checked in the free run.
- Premisecitation
Across studies, schizophrenia and educational attainment have stood out as traits correlated with polygenic risk for ASD.
“Across a series of studies, schizophrenia62,63 and educational attainment63,64 have stood out as traits that are correlated with polygenic risk for ASD.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [62] Hagenaars, S. P. et al. Shared genetic aetiology between cognitive functions and physical and mental health in UK Biobank (N = 112 151) and 24 GWAS consortia. Mol. Psychiatry 21, 1624–1632 (2016). source
Not checked in the free run.
- cites [63] Clarke, T. K. et al. Common polygenic risk for autism spectrum disorder (ASD) is associated with cognitive ability in the general population. Mol. Psychiatry 21, 419–425 (2016). source
Not checked in the free run.
- cites [64] Samocha, K. E. et al. A framework for the interpretation of de novo mutation in human disease. Nat. Genet. 46, 944–950 (2014). source
Not checked in the free run.
- Study design and conductown data
No tested quality metrics-coverage, Ti/Tv ratio, Het/Hom ratio, or paternal age-were correlated with case status in the SPARK dataset.
“No quality metrics that were tested were correlated with case status in the SPARK dataset including coverage, transition:transversion (Ti/Tv) ratio, ratio of heterozygous to homozygous genotypes (Extended Data Fig. 1b) and paternal age (Extended Data Fig. 1c).”
Quote in the paperNot a substantial claim
- May combine two claims. 40
- Classified as probably not a substantial claim. 12
- The quote only partly states this claim. 1
May combine two claims.
Findingown dataThe composite rare-variant and common-variant risk scores were negatively correlated (P = 0.0037, Pearson correlation = −0.015), and this correlation was stronger than the pairwise correlations of individual factors.
“The negative correlation of the composite risk scores RVRS and CVRS (P = 0.0037, Pearson correlation = −0.015) was stronger than for the pairwise correlations of individual factors (Fig. 4b and Supplementary Table 15)”
Quote in the paperSubstantial claim- Rests on an assumption: The genetic factors combine additively to determine ASD liability.
May combine two claims.
Findingown dataStructural variants disrupting cis-regulatory regions of constrained genes showed differential transmission in cases and controls, but the TDT test was not statistically significant in cases.
“SVs that disrupt cis-regulatory variants (CRE-SVs) of constrained genes showed differential transmission in cases and controls, but the TDT test did not reach statistical significance in cases.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataPolygenic scores for ASD, schizophrenia, and educational attainment are each significantly associated with ASD.
“Polygenic scores PSASD, PSSZ and PSEA were all significantly associated with ASD (Fig. 1c and Supplementary Table 10)”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe genomic risk score distribution is bimodal, with a subset of DNM carriers having the highest scores and the greatest enrichment of female cases.
“As expected, the distribution of GRS is bimodal, with a subset of DNM carriers having the highest scores and the greatest enrichment of female cases.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataEleven gene-trait relationships showed nominal evidence for interaction by sex, but none remained significant after correction for multiple testing.
“Eleven gene-trait relationships showed nominal evidence for an interaction by sex, but none were statistically significant after correction for multiple testing.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataPSASD was associated with social deficits, while dnLoF was correlated with reduced symptom severity in parents.
“with PSASD associated with social deficits and dnLoF correlated with reduced symptom severity in parents consistent with a de novo etiology.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataSex differences in genetic effects were not exclusively male-biased; 5 of 11 had stronger effects in females.
“Sex-differences in genetic effects were not exclusively male-biased (5/11 had stronger effects in females).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataParents' education levels were significantly correlated with parental age and were maternally biased (r2 maternal = 0.066, paternal = 0.023).
“parents’ levels of education were significantly correlated with parental age in our sample and maternally biased (r2maternal = 0.066, r2paternal = 0.023)”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataSix gene-trait correlations were significant after Bonferroni correction for 72 tests, and 18 showed nominal associations.
“Six gene-trait correlations were significant after Bonferroni correction for 72 tests (Fig. 5a), and 18 showed nominal associations (P ≤ 0.05).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataDeficits in motor coordination were associated with rare variants (dnMIS, dnLoF, inhLoF) but not with polygenic scores.
“Deficits in motor coordination (DCDQ) were associated with rare variants (dnMIS, dnLoF, inhLoF) but not with polygenic scores.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe strongest inherited factor influencing parental age was PSEA (r2 = 0.017), while PSASD and PSSZ showed much weaker correlations (r2 ≤ 0.0006).
“The single strongest inherited factor that influenced parental age was PSEA (r2 = 0.017; Supplementary Table 17), while PSASD and PSSZ showed much weaker correlations (r2 ≤ 0.0006).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataSocial deficits in offspring were associated with polygenic risk for ASD and de novo loss-of-function mutations, and the same factors influenced social behavior in parents.
“Social deficits (SCQ, SRS) in offspring were associated with polygenic risk (PSASD) and de novo mutations (dnLoF), and the same factors influenced social behavior (SRS, BAPQ) in parents (Fig. 5b)”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe rate of de novo SNVs increased with paternal age (r2 = 0.42) and maternal age (r2 = 0.27).
“the rate of de novo SNVs increased with paternal age in the combined dataset (r2paternal = 0.42, r2maternal = 0.27; Extended Data Fig. 4)”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataPSEA was protective for repetitive behavior and social communication deficits in offspring and was associated with reduced symptom severity in parents.
“PSEA was protective for core ASD symptoms of repetitive behavior (RBS) and social communication deficits (SCQ) in offspring and was also associated with reduced symptom severity in parents (BAPQ, EA).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataCommon PSEA and rare inhLoF variation in fathers were associated with older and younger paternal age, respectively.
“common (PSEA) and rare (inhLoF) variation in fathers were associated with older and younger paternal age respectively (Fig. 6a)”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataMultiple inherited genetic factors in parents (inhLoF, PSEA, PSSZ) were associated with parental age.
“multiple inherited genetic factors in parents (inhLoF, PSEA, PSSZ) were associated with parental age.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn bulk human cortex, GWAS genes were more highly expressed than the null distribution, and TADA genes were further enriched.
“In bulk human cortex, GWAS genes were more highly expressed (expression across all cortex samples and periods) compared to the null distribution, and TADA genes were further enriched (Fig. 7a).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataRare inhLoF variants were associated with early paternal age, and fathers carrying inhLoFs had reduced educational attainment, but this association was not statistically significant (P < 0.058).
“Rare inhLoF variants were associated with early paternal age, and fathers that carried inhLoFs had reduced educational attainment, but this association was not statistically significant (P < 0.058; Supplementary Table 18).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataAfter normalizing cortex expression across periods, GWAS genes showed increased relative expression during fetal development compared with the null, and TADA genes showed further enrichment in fetal cortex.
“After normalizing cortex expression of each gene across periods, GWAS genes show increased relative expression during fetal development (Fig. 7b) compared to the null, and again TADA genes showed a further enrichment in fetal cortex.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataGenetic effects on social communication in cases consisted of two factors with male bias (PSASD and PSSZ) and two with female bias (inhLoF and PSEA).
“Genetic effects on social communication in cases consisted of two factors with evidence of a male bias (PSASD and PSSZ) and two with evidence of a female bias (inhLoF and PSEA).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataParental education and parental age were significantly correlated, more strongly for mothers (r2 = 0.06, P = 3.5 × 10−52) than fathers (r2 = 0.03, P = 1.3 × 10−23).
“We confirmed in our dataset a significant correlation of parental education and parental age47 that was stronger for mothers (r2 = 0.06, P = 3.5 × 10−52; Supplementary Table 19) than for fathers (r2 = 0.03, P = 1.3 × 10−23).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [47] Boyle, E. A., Li, Y. I. & Pritchard, J. K. An expanded view of complex traits: from polygenic to omnigenic. Cell 169, 1177–1186 (2017). source
Not checked in the free run.
May combine two claims.
Findingown dataPSEA was negatively correlated with symptom severity in offspring and parents but positively correlated with case status.
“The one exception was PSEA, which was negatively correlated with symptom severity in offspring and parents but was positively correlated with case status.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe predictive accuracies of polygenic scores and rare variants were similar, each explaining 2% of variance in case status.
“In this study, the predictive accuracies of polygenic scores and rare variants were similar, each explaining 2% of variance in case status.”
Quote in the paperSubstantial claimThe quote only partly states this claim.
Findingown dataGenes implicated by rare variants were more strongly enriched during fetal development, specifically within neurons, compared with genes implicated by common variants.
“genes implicated by rare variants were more strongly enriched during fetal development, specifically within neurons.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAt the level of cortical cell types, TADA gene expression was about twofold greater than the null in excitatory and inhibitory neurons, while GWAS genes did not show significant enrichment by cell type.
“At the level of cortical cell types, the expression of TADA genes was significantly (~2 fold) greater than the null in excitatory and inhibitory neurons (Fig. 7c and Supplementary Table 21), and GWAS genes did not show a significant enrichment of expression by cell type.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataMultiple genetic factors were associated with parental age, with effects that differed by sex.
“Multiple genetic factors were associated with parental age with effects that differed by sex.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataMultiple genetic factors influence ASD symptom severity in cases and in their typically developing siblings and parents, with each factor having a different pattern of trait association.
“Multiple genetic factors influence ASD symptom severity in cases and in their typically developing siblings and parents, with each factor having a different pattern of trait-association.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataBoth maternal and paternal rare variants contribute to ASD, with significant over-transmission from mother to daughter and from father to son.
“Both maternal and paternal rare variants contribute to ASD with a significant over-transmission from mother to daughter and from father to son.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataIn the SPARK cohort, there was a 1.1-fold excess of synonymous variants in cases (OR=1.1, P=0.02).
“In the SPARK cohort we observed a 1.1-fold excess of synonymous variants in cases (OR = 1.1, P = 0.02).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataA significant liability threshold for rare variants was evident from a negative correlation between dnLoF and inhLoF (linear regression P=0.03), and this effect did not differ significantly by sex.
“A significant liability threshold for rare variants was evident based on a negative correlation of dnLoF and inhLoF (linear regression P = 0.03), and this effect did not differ significantly by sex.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataWith SBayesR polygenic scores, there was a similar trend of a stronger CVRS-RVRS correlation in males, but the gene-by-sex interaction was not statistically significant.
“With polygenic scores calculated using SBayesR, there was a similar trend with the correlation of CVRS and RVRS being stronger in males; however, the gene-by-sex interaction was not statistically significant.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataAn early analysis using PRSice found that the negative correlation between RVRS and CVRS was stronger in males than in females.
“An early analysis of this dataset using polygenic score estimates from PRSice observed that the negative correlation of RVRS and CVRS was stronger in males than in females, consistent with males having less tolerance of genetic risk.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationASD risk is influenced by both rare and common genetic variants, including de novo CNVs, large-effect protein-truncating SNPs and indels, and common polygenic risk made up of many small-effect alleles.
“The major risk factors for autism spectrum disorder (ASD) are genetic and include a variety of rare and common alleles, including rare de novo copy number variants (CNVs)1 or protein-truncating SNPs and indels of large effect2 and common polygenic risk that is measured as the sum of thousands of common alleles with small effects3.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [1] Sebat, J. et al. Strong association of de novo copy number mutations with autism. Science 316, 445–449 (2007). source
Not checked in the free run.
- cites [2] Iossifov, I. et al. The contribution of de novo coding mutations to autism spectrum disorder. Nature 515, 216–221 (2014). source
Not checked in the free run.
- cites [3] Grove, J. et al. Identification of common genetic risk variants for autism spectrum disorder. Nat. Genet. 51, 431–444 (2019). source
Not checked in the free run.
May combine two claims.
Interpretationown dataThe findings are consistent with a female protective effect in which females tolerate a greater load of ASD risk alleles and need a greater genetic load to meet diagnostic criteria.
“These results are consistent with a “female protective effect” in which females in the general population tolerate a greater genetic load of ASD risk, and likewise a greater genetic load is required for females to meet diagnostic criteria for ASD case status21.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [21] Werling, D. M. The role of sex-differential biology in risk for autism spectrum disorder. Biol. Sex. Differ. 7, 58 (2016). source
Not checked in the free run.
- The authors state this as an assumption: ASD liability follows a threshold model in which total genetic load determines whether an individual meets diagnostic criteria.
Classified as probably not a substantial claim.
PremisecitationFemales with ASD have a greater burden of rare CNVs and gene mutations than males with ASD.
“This hypothesis is supported by previous studies showing that females with ASD have a greater burden of rare CNVs1,11,12 and gene mutations13,14.”
Quote in the paperSubstantial claim0 of 5 sources checked- cites [1] Sebat, J. et al. Strong association of de novo copy number mutations with autism. Science 316, 445–449 (2007). source
Not checked in the free run.
- cites [11] Sanders, S. J. et al. Insights into autism spectrum disorder genomic architecture and biology from 71 risk loci. Neuron 87, 1215–1233 (2015). source
Not checked in the free run.
- cites [12] Desachy, G. et al. Increased female autosomal burden of rare copy number variants in human populations and in autism families. Mol. Psychiatry 20, 170–175 (2015). source
Not checked in the free run.
- cites [13] Jacquemont, S. et al. A higher mutational burden in females supports a ‘female protective model’ in neurodevelopmental disorders. Am. J. Hum. Genet. 94, 415–425 (2014). source
Not checked in the free run.
- cites [14] De Rubeis, S. et al. Synaptic, transcriptional and chromatin genes disrupted in autism. Nature 515, 209–215 (2014). source
Not checked in the free run.
May combine two claims.
Interpretationown dataThe genetic architecture of ASD varies along a spectrum of rare and common variation, with distinct phenotypic correlates and different effects in males and females.
“We show that the genetic architecture of ASD varies as a spectrum of rare and common variation, each having distinct phenotypic correlates and differential effects in males and females.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThe genetic architectures of ASD vary across cases, as shown by an inverse correlation of rare variants and polygenic scores, consistent with a liability threshold model.
“The genetic architectures of ASD vary across cases, which is evident by an inverse correlation of rare variants and polygenic scores, consistent with a liability threshold model.”
Quote in the paperSubstantial claim- The authors state this as an assumption: ASD liability follows a threshold model in which total genetic load determines whether an individual meets diagnostic criteria.
- Rests on an assumption: The genetic factors combine additively to determine ASD liability.
May combine two claims.
Interpretationown dataFemale cases have a significantly greater overall genetic load of polygenic and rare variation than male cases, confirming that a female protective effect applies generally to all components of the genetic architecture.
“female cases have a significantly greater overall genetic load of polygenic and rare variation than male cases, confirming that a “female protective effect”, in which females display a greater tolerance for ASD risk alleles, applies generally to all components of the genetic architecture.”
Quote in the paperSubstantial claim- The authors state this as an assumption: ASD liability follows a threshold model in which total genetic load determines whether an individual meets diagnostic criteria.
Classified as probably not a substantial claim.
Study design and conductreasoningAnalysis was restricted to 7,181 families with confirmed European ancestry to minimize ancestry as a confounder in polygenic scores.
“To minimize ancestry as a confounder in PSs, analysis was restricted to a subset of 7,181 families (n = 25,391 individuals) with parents and offspring that have confirmed European ancestry.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationThe polygenic TDT test had previously demonstrated overtransmission of PSASD, PSSZ and PSEA to cases, establishing proof of concept for including these scores in this study.
“For this reason, these polygenic scores were selected for the first family-based study that applied a polygenic TDT test (also used in this study) to demonstrate an overtransmission of PSASD, PSSZ and PSEA to cases17. This established for us the proof of concept for their inclusion in this study.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [17] Weiner, D. J. et al. Polygenic transmission disequilibrium confirms that common and rare variation act additively to create risk for autism spectrum disorders. Nat. Genet. 49, 978–985 (2017). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenThe research complied with relevant ethical regulations and was approved by the UC San Diego School of Medicine IRB.
“Our research complies with all relevant ethical regulations as approved by the institutional review board (IRB) of the UC San Diego School of Medicine.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataIn SPARK, de novo SNV calls had a recall of 92.6-98.2% (n=117) and de novo indel calls had a recall of 98.6-100% (n=107) against Sanger-validated DNMs from a previous pilot study.
“For SNVs, the recall rate for SNVs ranged from 92.6% to 98.2% (n = 117), while for indels the recall range from 98.6 to 100% (n = 107).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [58] Antaki, D., Brandler, W. M. & Sebat, J. SV2: accurate structural variation genotyping and de novo mutation detection from whole genomes. Bioinformatics 34, 1774–1777 (2018). source
Not checked in the free run.
May combine two claims.
Interpretationown dataNo variables could be identified that explain the subtle baseline difference in dnSyn burden in SPARK, so none could be included as covariates in a regression model.
“Thus, variables could not be identified that explain a subtle baseline difference in dnSyn burden, which could be included as covariates in a regression model.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataOverall results were highly consistent between the two polygenic scoring methods.
“overall results were highly consistent between both PS methods.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductown dataAmong the polygenic scoring methods evaluated, the method with the greatest prediction accuracy for ASD case status was selected for all analyses.
“Two polygenic scoring methods were evaluated, and the method with the greatest prediction accuracy for ASD case status was selected for all analyses described here.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductreasoningFor the SPARK exome dataset, DNMs were retained only when at least three of five classifiers called them, a rule intended to maximize sensitivity while controlling false positives.
“To maximize sensitivity while controlling for false positives, we retained DNMs if they were called by three out of the five classifiers.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductown dataGenetic effects were tested by linear regression controlling for cohort, age, sex, and principal components, and gene-by-sex interactions were also tested.
“Genetic effects were tested by linear regression controlling for cohort, age, sex and principal components, and effects were also tested for gene-by-sex interactions (Supplementary Table 17).”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThe subtle dnSyn excess in SPARK does not bias the combined sample and cannot explain the strong associations reported for other de novo mutation categories.
“However, this very subtle effect does not contribute to a bias in the combined sample and cannot explain the strong associations reported for other categories of de novo mutation (Fig. 1).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationown dataThe stronger negative correlation between RVRS and CVRS in males is consistent with males having less tolerance of genetic risk.
“consistent with males having less tolerance of genetic risk.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
No single variant, gene, or polygenic score has high predictive value for an ASD diagnosis.
“Despite the success in identifying and characterizing multiple types of genetic risk, there is no one variant, gene or polygenic score (PS) that has a high predictive value for an ASD diagnosis.”
The paper relies on this without support.
Males are diagnosed with ASD more frequently than females at a ratio of 4:1.
“Males are diagnosed with ASD more frequently than are females at a ratio of 4:1.”
The paper relies on this without support.
Gene-by-sex interactions in ASD have not been examined systematically.
“However, gene-by-sex interactions in ASD have not been examined systematically.”
The paper relies on this without support.
How combinations of multiple genetic factors contribute to ASD risk and clinical presentation is not known.
“How combinations of multiple genetic factors contribute to risk and clinical presentation is not known.”
The authors state this as an assumption.
ASD liability follows a threshold model in which total genetic load determines whether an individual meets diagnostic criteria.
“According to a liability-threshold model for ASD22,23, a total genetic load sufficient to meet diagnostic criteria can be reached through differing combinations of rare and common variation.”
The paper relies on this without support.
The genetic factors combine additively to determine ASD liability.
“consistent with liability being attributable to the additive effects of multiple rare and common genetic factors.”
The paper relies on this without support.
Many de novo CNV calls from microarrays in SSC samples are likely to be missed by paired-end SV callers.
“since many of these calls are likely to be missed by paired-end SV callers.”
The paper relies on this without support.
PSSZ and PSEA are among the most well-powered GWASs.
“but they are among the most well powered GWASs.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Autistic females are more likely than autistic males to carry a higher burden of de novo rare variants, which is inversely related to polygenic score load.
“Autistic females are also more likely than autistic males to carry a higher burden of de novo rare variants235,236, which is inversely related to polygenic score load236.”
From Sex and gender in neurodevelopmental conditions (2023) · cites this paper as [236]
Studies investigating the female protective effect in autism have used partly overlapping samples, and independent replication is therefore required.
“Studies investigating the so-called female protective effect in autism have used partly overlapping samples, and independent replication is therefore required225,227–229,236.”
From Sex and gender in neurodevelopmental conditions (2023) · cites this paper as [236]
Existing studies investigating genotype-phenotype associations have been limited to summed scores of core autism features in smaller sample sizes rather than underlying latent dimensions.
“First, existing studies investigating genotype–phenotype associations have been limited to summed scores of core autism features in smaller sample sizes19–21 rather than the underlying latent dimensions.”
From Genetic correlates of phenotypic heterogeneity in autism (2022) · cites this paper as [19]
Neither of these studies stratified by ID.
“yet neither have stratified by ID.”
From Genetic correlates of phenotypic heterogeneity in autism (2022) · cites this paper as [19]
Recent studies have found higher PGS for autism in females than in males.
“Recent studies have found higher PGS for autism in females than in males19”
From Genetic correlates of phenotypic heterogeneity in autism (2022) · cites this paper as [19]
Emerging evidence suggests a role for other classes of genetic variants (e.g., rare inherited and de novo tandem repeats) in autism.
“yet emerging evidence suggests a role for other classes (for example, rare inherited and de novo tandem repeats) of genetic variants as well17,19,60,61.”
From Genetic correlates of phenotypic heterogeneity in autism (2022) · cites this paper as [19]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
TADA gene-set size differs between Results and Methods
MinorThe Results report 125 TADA genes meeting the FDR threshold, whereas the Methods report 113 genes at the same threshold.
“a set of 125 ASD susceptibility (TADA genes) with FDR < 0.05”
“TADA genes were defined as a set of 113 ASD genes that were associated with ASD at an FDR < 0.05.”
Reference genome used for initial alignment is stated inconsistently
MinorThe processing overview says all calls came from sequence aligned to GRCh38, but the REACH cohort description says its reads were aligned to GRCh37 before variant calls were lifted over.
“All calls were generated from sequence aligned to GRCh38.”
“Sequencing reads were aligned to the GRCh37 reference genome using bwa-mem (v0.7.12).”
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Self-citationRICOPILI: Rapid Imputation for COnsortias PIpeLIne
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Defining the effect of the 16p11.2 duplication on cognition, behavior, and medical comorbidities
D’Angelo, D., Lebon, S., Chen, Q., Martin-Brevet, S., Snyder, L. G., Hippolyte, L., Hanson, E., Maillard, A. M., Faucett, W. A., Macé, A., et al. (2016) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2015.2123 · Cited by 277 · see citing works
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Self-citationExome sequencing of 457 autism families recruited online provides evidence for autism risk genes
Feliciano, P., Zhou, X., Astrovskaya, I., Turner, T. N., Wang, T., Brueggeman, L., Barnard, R., Hsieh, A., Snyder, L. G., Muzny, D. M., et al. (2019) · npj Genomic Medicine · doi:10.1038/s41525-019-0093-8 · Cited by 247 · see citing works
Self-citationSocial and demographic factors that influence the diagnosis of autistic spectrum disorders
Russell, G., Steer, C., & Golding, J. (2011) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-010-0294-z · Cited by 239 · see citing works
Genome-wide detection of tandem DNA repeats that are expanded in autism
Trost, B., Engchuan, W., Nguyen, C. M., Thiruvahindrapuram, B., Dolzhenko, E., Backstrom, I., Mirceta, M., Mojarad, B. A., Yin, Y., Dov, A., et al. (2020) · Nature · doi:10.1038/s41586-020-2579-z · Cited by 238 · see citing works
Paternally inherited cis-regulatory structural variants are associated with autism
Brandler, W. M., Antaki, D., Gujral, M., Kleiber, M. L., Whitney, J., Maile, M. S., Hong, O., Chapman, T. R., Tan, S., Tandon, P., et al. (2018) · Science · doi:10.1126/science.aan2261 · Cited by 209 · see citing works
Self-citationThe role of sex-differential biology in risk for autism spectrum disorder
Werling, D. M. (2016) · Biology of Sex Differences · doi:10.1186/s13293-016-0112-8 · Cited by 208 · see citing works
Paternal Age and Risk of Schizophrenia in Adult Offspring
Brown, A. S., Schaefer, C. A., Wyatt, R. J., Begg, M. D., Goetz, R. R., Bresnahan, M. A., Harkavy‐Friedman, J., Gorman, J. M., Malaspina, D., & Susser, E. (2002) · American Journal of Psychiatry · doi:10.1176/appi.ajp.159.9.1528 · Cited by 203 · see citing works
Patterns of de novo tandem repeat mutations and their role in autism
Mitra, I., Huang, B., Mousavi, N., Ma, N., Lamkin, M., Yanicky, R., Shleizer-Burko, S., Lohmueller, K. E., & Gymrek, M. (2021) · Nature · doi:10.1038/s41586-020-03078-7 · Cited by 194 · see citing works
Opposing Brain Differences in 16p11.2 Deletion and Duplication Carriers
Qureshi, A. Y., Mueller, S., Snyder, A. Z., Mukherjee, P., Berman, J. I., Roberts, T. P. L., Nagarajan, S. S., Spiro, J. E., Chung, W. K., Sherr, E. H., et al. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.1366-14.2014 · Cited by 183 · see citing works
Clarke, T.-K., Lupton, M. K., Fernandez-Pujals, A. M., Starr, J., Davies, G., Cox, S., Pattie, A., Liewald, D. C., Hall, L. S., MacIntyre, D. J., et al. (2016) · Molecular Psychiatry · doi:10.1038/mp.2015.12 · Cited by 179 · see citing works
Joint Contributions of Rare Copy Number Variants and Common SNPs to Risk for Schizophrenia
Bergen, S. E., Ploner, A., Howrigan, D., CNV Analysis Group and the Schizophrenia Working Group of the Psychiatric Genomics Consortium, O’Donovan, M. C., Smoller, J. W., Sullivan, P. F., Sebat, J., Neale, B., & Kendler, K. S. (2019) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2018.17040467 · Cited by 171 · see citing works
Self-citationPaternal age and intelligence: implications for age-related genomic changes in male germ cells
Malaspina, D., Reichenberg, A., Weiser, M., Fennig, S., Davidson, M., Harlap, S., Wolitzky, R., Rabinowitz, J., Susser, E., & Knobler, H. Y. (2005) · Psychiatric Genetics · doi:10.1097/00041444-200506000-00008 · Cited by 162 · see citing works
Sex-Based Analysis of De Novo Variants in Neurodevelopmental Disorders
Turner, T. N., Wilfert, A. B., Bakken, T. E., Bernier, R. A., Pepper, M. R., Zhang, Z., Torene, R. I., Retterer, K., & Eichler, E. E. (2019) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2019.11.003 · Cited by 159 · see citing works
Autism Risk Across Generations
Frans, E. M., Sandin, S., Reichenberg, A., Långström, N., Lichtenstein, P., McGrath, J. J., & Hultman, C. M. (2013) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2013.1180 · Cited by 158 · see citing works
Autism As a Disorder of High Intelligence
Crespi, B. J. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00300 · Cited by 156 · see citing works
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A framework for the investigation of rare genetic disorders in neuropsychiatry
Sanders, S., Şahin, M., Hostyk, J. A., Thurm, A. E., Jacquemont, S., Avillach, P., Douard, E. A., Martin, C. L., Modi, M. E., Moreno-De-Luca, A., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0581-5 · Cited by 119 · see citing works
Self-citationRisk of psychiatric illness from advanced paternal age is not predominantly from de novo mutations
Gratten, J., Wray, N. R., Peyrot, W. J., McGrath, J. J., Visscher, P. M., & Goddard, M. E. (2016) · Nature Genetics · doi:10.1038/ng.3577 · Cited by 118 · see citing works
Werling, D. M., & Geschwind, D. H. (2015) · Molecular Autism · doi:10.1186/s13229-015-0004-5 · Cited by 110 · see citing works
Lundström, S., Haworth, C. M. A., Carlström, E. L., Gillberg, C., Mill, J. S., Råstam, M., Hultman, C. M., Ronald, A., Anckarsäter, H. S., Plomin, R. J., et al. (2010) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2010.02223.x · Cited by 82 · see citing works
Reciprocal white matter alterations due to 16p11.2 chromosomal deletions versus duplications
Chang, Y. S., Owen, J. P., Pojman, N. J., Thieu, T., Bukshpun, P., Wakahiro, M. L. J., Marco, E. J., Berman, J. I., Spiro, J. E., Chung, W. K., et al. (2016) · Human Brain Mapping · doi:10.1002/hbm.23211 · Cited by 81 · see citing works
A cross-disorder PRS-pheWAS of 5 major psychiatric disorders in UK Biobank
Leppert, B., Millard, L. A. C., Riglin, L., Smith, G. D., Thapar, A., Tilling, K. M., Walton, E., & Stergiakouli, E. (2020) · PLoS Genetics · doi:10.1371/journal.pgen.1008185 · Cited by 78 · see citing works
Parental Age and Risk of Autism Spectrum Disorders in a Finnish National Birth Cohort
Lampi, K. M., Hinkka‐Yli‐Salomäki, S., Lehti, V., Helenius, H. Y. M., Gissler, M., Brown, A. S., & Sourander, A. (2013) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-013-1801-3 · Cited by 77 · see citing works
Damaging de novo mutations diminish motor skills in children on the autism spectrum
Buja, A., Volfovsky, N., Krieger, A. M., Lord, C., Lash, A. E., Wigler, M., & Iossifov, I. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1715427115 · Cited by 64 · see citing works
Jacquemont, S., Huguet, G., Klein, M., Chawner, S. J. R. A., Donald, K. A., van den Bree, M. B. M., Sebat, J. L., Ledbetter, D. H., Constantino, J. N., Earl, R. K., et al. (2022) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2021.21040432 · Cited by 61 · see citing works
Self-citationLarge mosaic copy number variations confer autism risk
Sherman, M. A., Rodin, R. E., Genovese, G., Dias, C., Barton, A. R., Mukamel, R. E., Berger, B., Park, P. J., Walsh, C. A., & Loh, P. (2021) · Nature Neuroscience · doi:10.1038/s41593-020-00766-5 · Cited by 56 · see citing works
Oligogenic Effects of 16p11.2 Copy-Number Variation on Craniofacial Development
Qiu, Y., Arbogast, T., Lorenzo, S. M., Li, H., Tang, S. C., Richardson, E., Hong, O., Cho, S., Shanta, O., Pang, T., et al. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.08.071 · Cited by 55 · see citing works
Self-citationDesachy, G., Croen, L. A., Torres, A. R., Kharrazi, M., Delorenze, G. N., Windham, G. C., Yoshida, C. K., & Weiss, L. A. (2015) · Molecular Psychiatry · doi:10.1038/mp.2014.179 · Cited by 54 · see citing works
Lyall, K., Song, L., Botteron, K. N., Croen, L., Dager, S. R., Fallin, M. D., Hazlett, H. C., Kauffman, E. M., Landa, R. J., Ladd‐Acosta, C., et al. (2020) · Autism Research · doi:10.1002/aur.2303 · Cited by 50 · see citing works
Antaki, D., Brandler, W. M., & Sebat, J. (2018) · Bioinformatics · doi:10.1093/bioinformatics/btx813 · Cited by 45 · see citing works
Self-citationMissing heritability: paternal age effect mutations and selfish spermatogonia
Goriely, A., & Wilkie, A. O. M. (2010) · Nature Reviews Genetics · doi:10.1038/nrg2809-c1 · Cited by 43 · see citing works
Genetic risk for autism spectrum disorders and neuropsychiatric variation in the general populationPreprint
Robinson, E., Pourcain, B. S., Anttila, V., Kosmicki, J. A., Bulik-Sullivan, B. K., Grove, J., Maller, J., Samocha, K. E., Sanders, S., Ripke, S., et al. (2015) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/027771 · Cited by 34 · see citing works
Self-citationReproductive fitness and genetic risk of psychiatric disorders in the general population
Mullins, N., Ingason, A., Porter, H. F., Euesden, J., Gillett, A. C., Ólafsson, S., Gudbjartsson, D. F., Lewis, C. M., Sigurðsson, E., Sæmundsen, E., et al. (2017) · Nature Communications · doi:10.1038/ncomms15833 · Cited by 28 · see citing works
Antaki, D., Maihofer, A. X., Klein, M., et al. (2021) · medRxiv · doi:10.1101/2021.03.30.21254657 · Cited by 25 · see citing works
Self-citationPaternally inherited noncoding structural variants contribute to autismPreprint
Brandler, W. M., Antaki, D., Gujral, M., et al. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/102327 · Cited by 11 · see citing works
Self-citationTime-Varying Outcomes Associated With Maternal Age at First Birth
Fulco, C. J., Henry, K. L., Rickard, K. M., & Yuma, P. (2019) · Journal of Child and Family Studies · doi:10.1007/s10826-019-01616-0 · Cited by 5 · see citing works
Customized de novo mutation detection for any variant calling pipeline: SynthDNM
Lian, A., Guevara, J., Xia, K., & Sebat, J. L. (2021) · Bioinformatics · doi:10.1093/bioinformatics/btab225 · Cited by 4 · see citing works
Self-citationSV 2 : Accurate Structural Variation Genotyping and De Novo Mutation Detection from Whole GenomesPreprint
Antaki, D., Brandler, W. M., & Sebat, J. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/113498 · Cited by 4 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 2
- Grove, J. et al. Identification of common genetic risk variants for autism spectrum disorder. Nat. Genet. 51, 431–444 (2019). · DOI · Paper page
- Brandler, W. M. et al. Paternally inherited cis-regulatory structural variants are associated with autism. Science 360, 327–331 (2018). · DOI · Paper page
Cited by
Sorted by citations
Sex and gender in neurodevelopmental conditions
Bölte, S., Neufeld, J., Marschik, P. B., Williams, Z. J., Gallagher, L., & Lai, M.-C. (2023) · Nature Reviews Neurology · doi:10.1038/s41582-023-00774-6 · Cited by 249 · see citing works
Genetic correlates of phenotypic heterogeneity in autism
Warrier, V., Zhang, X., Reed, P., Havdahl, A., Moore, T. M., Cliquet, F., Leblond, C. S., Rolland, T., Rosengren, A., LEAP, E.-A., et al. (2022) · Nature Genetics · doi:10.1038/s41588-022-01072-5 · Cited by 152 · see citing works
Self-citationThe female protective effect against autism spectrum disorder
Wigdor, E. M., Weiner, D. J., Grove, J., Fu, J. M., Thompson, W. K., Carey, C. E., Baya, N., van der Merwe, C., Walters, R. K., Satterstrom, F. K., et al. (2021) · doi:10.1101/2021.03.29.21253866 · Cited by 124 · see citing works
Self-citationThe female protective effect against autism spectrum disorder
Wigdor, E. M., Weiner, D. J., Grove, J., Fu, J. M., Thompson, W. K., Carey, C. E., Baya, N., van der Merwe, C., Walters, R. K., Satterstrom, F. K., et al. (2022) · Cell Genomics · doi:10.1016/j.xgen.2022.100134 · Cited by 124 · see citing works
Self-citationJung, B., Ahn, K., Justice, C., Norman, L., Price, J., Sudre, G., & Shaw, P. (2023) · Molecular Psychiatry · doi:10.1038/s41380-022-01906-y · Cited by 10 · see citing works
- Authors
- Antaki, D., Guevara, J., Maihofer, A. X., Klein, M., Gujral, M., Grove, J., Carey, C. E., Hong, O., Arranz, M. J., Hervas, A., Corsello, C., Vaux, K. K., Muotri, A. R., Iakoucheva, L. M., Courchesne, E., Pierce, K., Gleeson, J. G., Robinson, E. B., Nievergelt, C. M., & Sebat, J.
- Affiliations
- University of California San Diego (US)
- Aarhus University (DK)
- Broad Institute (US)
- University Hospital Mútua de Terrassa (ES)
- University of North Carolina at Chapel Hill (US)
- Human Longevity (United States) (US)
- Corresponding author
- Sebat, Jonathan
- ORCID
- Venue
- Nature Genetics
- Published
- 2022-06-02
- Volume
- 54
- Issue
- 9
- Pages
- 1284-1292
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- PMC
- PMC9474668
- OpenAlex
- W4281713460
- Semantic Scholar
- 0008b454a46a30b9f471497ac83e0073653ada2e
- Cited by
- 206
- References
- 83
- Citations by year
- 2026: 36 · 2025: 50 · 2024: 56 · 2023: 40 · 2022: 22 · 2021: 1 · 2020: 1
- FWCI
- 22.69
- Type
- journal article
- Language
- en
- Update notices
- correction (2022-06-29)
- Open access
- green
- doi.org
- Licence
- Locations
- Nature Genetics (publishedVersion)
- medRxiv (acceptedVersion, cc-by-nd)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (MH119746, 1MH109501, MH113715, MH106595, MH109514)
- Simons Foundation (SFARI 606768)
- U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (GM008666)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Neurodevelopmental Disorders
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Keywords
- autism spectrum disorder, rare variants, polygenic risk, de novo mutations, sex differences, parental age, polygenic risk score, symptom severity, excitatory and inhibitory neurons, brain development, family-based genetic study
- MeSH terms
- Autism Spectrum Disorder, Autistic Disorder, Child, Family, Female, Humans, Male, Genetic Predisposition to Disease, Multifactorial Inheritance
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-05.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-05.
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